Stochastic Community Assembly: Does It Matter in Microbial Ecology?
Abstract
Understanding the mechanisms controlling community diversity, functions, succession, and biogeography is a central, but poorly understood, topic in ecology, particularly in microbial ecology. Although stochastic processes are believed to play nonnegligible roles in shaping community structure, their importance relative to deterministic processes is hotly debated. The importance of ecological stochasticity in shaping microbial community structure is far less appreciated. Some of the main reasons for such heavy debates are the difficulty in defining stochasticity and the diverse methods used for delineating stochasticity. Here in this paper, we provide a critical review and synthesis of data from the most recent studies on stochastic community assembly in microbial ecology. We then describe both stochastic and deterministic components embedded in various ecological processes, including selection, dispersal, diversification, and drift. We also describe different approaches for inferring stochasticity from observational diversity patterns and highlight experimental approaches for delineating ecological stochasticity in microbial communities. In addition, we highlight research challenges, gaps, and future directions for microbial community assembly research.
- Authors:
-
- Univ. of Oklahoma, Norman, OK (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Tsinghua Univ., Beijing (China)
- Univ. of Oklahoma, Norman, OK (United States)
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- National Science Foundation (NSF); USDOE Office of Science (SC), Biological and Environmental Research (BER); USDA
- OSTI Identifier:
- 1561877
- Grant/Contract Number:
- AC02-05CH11231; SC0004601; EF-1065844
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Microbiology and Molecular Biology Reviews
- Additional Journal Information:
- Journal Volume: 81; Journal Issue: 4; Journal ID: ISSN 1092-2172
- Publisher:
- American Society for Microbiology
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES
Citation Formats
Zhou, Jizhong, and Ning, Daliang. Stochastic Community Assembly: Does It Matter in Microbial Ecology?. United States: N. p., 2017.
Web. doi:10.1128/MMBR.00002-17.
Zhou, Jizhong, & Ning, Daliang. Stochastic Community Assembly: Does It Matter in Microbial Ecology?. United States. https://doi.org/10.1128/MMBR.00002-17
Zhou, Jizhong, and Ning, Daliang. Wed .
"Stochastic Community Assembly: Does It Matter in Microbial Ecology?". United States. https://doi.org/10.1128/MMBR.00002-17. https://www.osti.gov/servlets/purl/1561877.
@article{osti_1561877,
title = {Stochastic Community Assembly: Does It Matter in Microbial Ecology?},
author = {Zhou, Jizhong and Ning, Daliang},
abstractNote = {Understanding the mechanisms controlling community diversity, functions, succession, and biogeography is a central, but poorly understood, topic in ecology, particularly in microbial ecology. Although stochastic processes are believed to play nonnegligible roles in shaping community structure, their importance relative to deterministic processes is hotly debated. The importance of ecological stochasticity in shaping microbial community structure is far less appreciated. Some of the main reasons for such heavy debates are the difficulty in defining stochasticity and the diverse methods used for delineating stochasticity. Here in this paper, we provide a critical review and synthesis of data from the most recent studies on stochastic community assembly in microbial ecology. We then describe both stochastic and deterministic components embedded in various ecological processes, including selection, dispersal, diversification, and drift. We also describe different approaches for inferring stochasticity from observational diversity patterns and highlight experimental approaches for delineating ecological stochasticity in microbial communities. In addition, we highlight research challenges, gaps, and future directions for microbial community assembly research.},
doi = {10.1128/MMBR.00002-17},
journal = {Microbiology and Molecular Biology Reviews},
number = 4,
volume = 81,
place = {United States},
year = {Wed Oct 11 00:00:00 EDT 2017},
month = {Wed Oct 11 00:00:00 EDT 2017}
}
Web of Science
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